SciML / OperatorLearning.jl
No need to train, he's a smooth operator
☆43Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for OperatorLearning.jl
- Taylor-mode automatic differentiation for higher-order derivatives☆74Updated this week
- High-level model-order reduction to automate the acceleration of large-scale simulations☆37Updated this week
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 3 months ago
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆23Updated 3 weeks ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆55Updated this week
- Machine learning from scratch in Julia☆31Updated last month
- ☆19Updated last year
- Checkpointing for Automatic Differentiation☆52Updated this week
- Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well …☆25Updated 4 months ago
- Structure Preserving Machine Learning Models in Julia☆41Updated last month
- A Julia library for hierarchical matrices☆40Updated last month
- Total Variation Regularized Numerical Differentiation☆36Updated last year
- A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia…☆30Updated 3 years ago
- Plot your Ferrite.jl data☆30Updated this week
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆27Updated last week
- A Julia repository for linear algebra with infinite matrices☆34Updated 2 months ago
- Examples for using ApproFun.jl☆24Updated 2 years ago
- A package for multi-dimensional integration using monte carlo methods☆37Updated 8 months ago
- Julia package for hierarchical matrices☆27Updated 2 weeks ago
- ☆27Updated 3 years ago
- Solver for two-dimensional conservation equations using the finite volume method in Julia.☆36Updated 3 weeks ago
- A multigrid package in Julia: smoothed aggregation AMG + geometric multigrid.☆17Updated 9 months ago
- Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆26Updated last week
- A Julia package for working with spherical harmonic expansions☆24Updated 5 months ago
- Provides PETSc solvers to the Gridap project☆31Updated this week
- Julia interface to hypre linear solvers☆30Updated last month
- Solvers for steady states in scientific machine learning (SciML)☆30Updated 3 weeks ago
- Makie plotting recipes for Gridap☆37Updated last month
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations